A feature‐based statistical shape model for geometric analysis of the human talus and development of universal talar prostheses

Vafaeian, Behzad; Riahi, Hossein Tajmir; Amoushahi, Hossein; Jomha, Nadr M.; Adeeb, Samer

doi:10.1111/joa.13552

Cited by 4 publications

(5 citation statements)

References 58 publications

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“…The first seven PCA modes contributed only about 60% of the shape variation. Similar results were found in the work by Vafaeian et al 14 and Tumer et al 28 Considerable variabilities were noticed among these three groups and all principal modes of variation, which highlights the complexity of the 3D shape of the talus and may not be clearly represented by 2D radiographs and described with 2D measurements. Our result of the shape difference of the first PCA at ± 3 standard deviations (SD) from the mean shape was in line with that provided in Liu et al 29 and Lenz et al 17 Our findings also do not support the idea 30,31 that scaling a mean talus to design different sizes of total talar implants.…”

Section: Discussionsupporting

confidence: 88%

“…3,7–13 The shape variability of the talus within specific populations is important for accurate diagnosis, treatment planning, and implant design. 3,4,14–17…”

Section: Introductionmentioning

confidence: 99%

“…3,[7][8][9][10][11][12][13] The shape variability of the talus within specific populations is important for accurate diagnosis, treatment planning, and implant design. 3,4,[14][15][16][17] Conventional radiographic measurements used to assess talar morphology often rely on feature points selected from images obtained through plain radiography, computed tomography (CT), or magnetic resonance imaging (MRI). Distances, angles, areas, or volumes are then calculated based on these feature points to describe the surface geometry of the talus.…”

Section: Introductionmentioning

confidence: 99%

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Statistical shape modeling of mean shape and principal variability of the human talar bone in the Chinese population

Wang,

Yu,

Lyu

et al. 2023

J Orthop Surg (Hong Kong)

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Purpose The talar bone plays a crucial role in ankle biomechanics and stability. Understanding the shape variability of the talar bone within specific populations is essential for various clinical applications. In this study, we aimed to investigate the mean shape and principal variability of the human talar bone in the Chinese population using statistical shape modeling (SSM). Methods CT scans of 214 tali were included to create SSM models. Principal component analysis was used to describe shape variation among the male, female, and overall groups. Results The largest amount of variation among three groups ranges from 17.2%–18.8% of each variation. The first seven principal components (modes) captured 62.4%–67.5% of the cumulative variance. No dominant shape of the talus was found. Male tali generally have a larger size than the female tali, with the exception of the articular surface of the anterior subtalar joint. Conclusions SSM is an effective method of finding mean shape and principal variability. Considerable variabilities were noticed among these three groups and all principal modes of variation. No dominant talar model was found to represent the majority of tali, regardless the gender. Such information is crucial to improve the current understanding of talar pathologies and their treatment strategies.

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Section: Discussionsupporting

confidence: 88%

“…3,7–13 The shape variability of the talus within specific populations is important for accurate diagnosis, treatment planning, and implant design. 3,4,14–17…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Statistical shape modeling of mean shape and principal variability of the human talar bone in the Chinese population

Wang,

Yu,

Lyu

et al. 2023

J Orthop Surg (Hong Kong)

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“…Using SSM, a statistical model can be created to compare mean bone shape morphology and identify anatomical modes of variation. Previous ankle SSM studies have been limited to a single bone and could not, therefore, evaluate multi-domain joint relationships ( Melinska et al, 2015 ; Melinska et al, 2017 ; Tümer et al, 2019a ; Tümer et al, 2019b ; Gabrielli et al, 2020 ; Krähenbühl et al, 2020 ; Liu et al, 2020 ; Schmutz et al, 2021 ; Arbabi et al, 2022 ; Peiffer et al, 2022 ; Vafaeian et al, 2022 ). A multi-domain technique can be implemented to capture morphological and alignment changes for multiple bones throughout a population.…”

Section: Introductionmentioning

confidence: 99%

Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints

Peterson

Lisonbee²,

Krähenbühl³

et al. 2022

Front. Bioeng. Biotechnol.

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Traditionally, two-dimensional conventional radiographs have been the primary tool to measure the complex morphology of the foot and ankle. However, the subtalar, talonavicular, and calcaneocuboid joints are challenging to assess due to their bone morphology and locations within the ankle. Weightbearing computed tomography is a novel high-resolution volumetric imaging mechanism that allows detailed generation of 3D bone reconstructions. This study aimed to develop a multi-domain statistical shape model to assess morphologic and alignment variation of the subtalar, talonavicular, and calcaneocuboid joints across an asymptomatic population and calculate 3D joint measurements in a consistent weightbearing position. Specific joint measurements included joint space distance, congruence, and coverage. Noteworthy anatomical variation predominantly included the talus and calcaneus, specifically an inverse relationship regarding talar dome heightening and calcaneal shortening. While there was minimal navicular and cuboid shape variation, there were alignment variations within these joints; the most notable is the rotational aspect about the anterior-posterior axis. This study also found that multi-domain modeling may be able to predict joint space distance measurements within a population. Additionally, variation across a population of these four bones may be driven far more by morphology than by alignment variation based on all three joint measurements. These data are beneficial in furthering our understanding of joint-level morphology and alignment variants to guide advancements in ankle joint pathological care and operative treatments.

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“…By understanding the way shapes vary and whether separate cohorts vary differently, subtle changes can be uncovered. This technique has been used to quantify the variability in boney and soft tissue structures such as the lumbar spine, hip, knee, ankle, orbit, ossicles and levator ani (Bartling et al, 2021 ; Gass et al, 2022 ; Pavlova et al, 2017 ; Vafaeian et al, 2022 ; Vrancken et al, 2014 ). However, SSM has not been used to examine a hollow cavity such as the oropharynx in vivo.…”

Section: Introductionmentioning

confidence: 99%

Shape modelling of the oropharynx distinguishes associations with body morphology but not whiplash‐associated disorder

et al. 2022

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Characterization of the oropharynx, a subdivision of the pharynx between the soft palate and the epiglottis, is limited to simple measurements. Structural changes in the oropharynx in whiplash‐associated disorder (WAD) cohorts have been quantified using two‐dimensional (2D) and three‐dimensional (3D) measures but the results are inconsistent. Statistical shape modelling (SSM) may be a more useful tool for systematically comparing morphometric features between cohorts. This technique has been used to quantify the variability in boney and soft tissue structures, but has not been used to examine a hollow cavity such as the oropharynx. The primary aim of this project was to examine the utility of SSM for comparing the oropharynx between WAD cohorts and control; and WAD severity cohorts. The secondary aim was to determine whether shape is associated with sex, height, weight and neck length. Magnetic resonance (MR) T1‐weighted images were obtained from healthy control ( n = 20), acute WAD ( n = 14) and chronic WAD ( n = 14) participants aged 18–39 years. Demographic, WAD severity (neck disability index) and body morphometry data were collected from each participant. Manual segmentation of the oropharynx was undertaken by blinded researchers between the top of the soft palate and tip of the epiglottis. Digital 3D oropharynx models were constructed from the segmented images and principal component (PC) analysis was performed with the PC weights normalized to z‐scores for consistency. Statistical analyses were undertaken using multivariate linear models. In the first statistical model the independent variable was group (acute WAD, chronic WAD, control); and in the second model the independent variable was WAD severity (recovered/mild, moderate/severe). The covariates for both models included height, weight, average neck length and sex. Shape models were constructed to visualize the effect of perturbing these covariates for each relevant mode. The shape model revealed five modes which explained 90% of the variance: mode 1 explained 59% of the variance and primarily described differences in isometric size of the oropharynx, including elongation; mode 2 (13%) primarily described lateral (width) and AP (depth) dimensions; mode 3 (8%) described retroglossal AP dimension; mode 4 (6%) described lateral dimensions at the retropalatal‐retroglossal junction and mode 5 (4%) described the lateral dimension at the inferior retroglossal region. There was no difference in shape (mode 1 p = 0.52; mode 2 p = 0.96; mode 3 p = 0.07; mode 4 p = 0.54; mode 5 p = 0.74) between control, acute WAD and chronic WAD groups. There were no statistical differences for any mode (mode 1 p = 0.12; mode 2 p = 0.29; mode 3 p = 0.56; mode 4 p = 0.99; mode 5 ...

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A feature‐based statistical shape model for geometric analysis of the human talus and development of universal talar prostheses

Cited by 4 publications

References 58 publications

Statistical shape modeling of mean shape and principal variability of the human talar bone in the Chinese population

Statistical shape modeling of mean shape and principal variability of the human talar bone in the Chinese population

Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints

Shape modelling of the oropharynx distinguishes associations with body morphology but not whiplash‐associated disorder

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